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Identify which of the variables is most likely to be the explanatory variable, and which is most likely to be the response variable. Explain. Identify whether each variable is categorical or quantitative, and classify the relationship as C→Q, C→C, or Q→Q, and explain how you know. Determine what type of data display and description is appropriate for the relationship, and explain why. Create an appropriate data display and describe the relationship using vocabulary appropriate to the type of data. Describe any potential lurking (confounding) variables and describe how this impacts association (correlation) versus causation. Describe what other information you can get from this data, or what other questions you might have about it.

Identify which of the variables is most likely to be the explanatory variable, and which is most likely to be the response variable. Explain. Identify whether each variable is categorical or quantitative, and classify the relationship as C→Q, C→C, or Q→Q, and explain how you know. Determine what type of data display and description is appropriate for the relationship, and explain why. Create an appropriate data display and describe the relationship using vocabulary appropriate to the type of data. Describe any potential lurking (confounding) variables and describe how this impacts association (correlation) versus causation. Describe what other information you can get from this data, or what other questions you might have about it.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 27PPS
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1. A study comparing children's height to their reading level showed that 70% of children who were less than 48 inches tall had a reading level at or below 4th grade, while 80% of children who were 48 inches or taller had a reading level above 4th grade. There are 200 students total, and 110 of them are less than 48 inches tall.
Transcribed Image Text:1. A study comparing children's height to their reading level showed that 70% of children who were less than 48 inches tall had a reading level at or below 4th grade, while 80% of children who were 48 inches or taller had a reading level above 4th grade. There are 200 students total, and 110 of them are less than 48 inches tall.
Identify which of the variables is most likely to be the explanatory variable, and which is most likely to be the response variable. Explain. . Identify whether each variable is categorical or quantitative, and classify the relationship as C→Q, C→C, or Q→Q, and explain how you know. . Determine what type of data display and description is appropriate for the relationship, and explain why. . Create an appropriate data display and describe the relationship using vocabulary appropriate to the type of data. . Describe any potential lurking (confounding) variables and describe how this impacts association (correlation) versus causation. Describe what other information you can get from this data, or what other questions you might have about it.
Transcribed Image Text:Identify which of the variables is most likely to be the explanatory variable, and which is most likely to be the response variable. Explain. . Identify whether each variable is categorical or quantitative, and classify the relationship as C→Q, C→C, or Q→Q, and explain how you know. . Determine what type of data display and description is appropriate for the relationship, and explain why. . Create an appropriate data display and describe the relationship using vocabulary appropriate to the type of data. . Describe any potential lurking (confounding) variables and describe how this impacts association (correlation) versus causation. Describe what other information you can get from this data, or what other questions you might have about it.
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